Investor commitment to serial entrepreneurs: A multilayer network analysis |
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| Affiliation: | 1. Stanford University, Department of Sociology, 450 Serra Mall, Building 120, Room 160, Stanford, CA 94305, United States;2. Stanford University, Computer Science Department, 353 Serra Mall, Stanford, CA 94305, United States;1. Institute for Criminal Law & Criminology, Leiden Law School, Leiden University, Leiden, The Netherlands;2. Research and Documentation Centre, Ministry of Security & Justice, The Hague, The Netherlands;3. VU University Amsterdam, Amsterdam, The Netherlands;4. Criminal Justice Department and the Criminal Justice PhD Program at John Jay College, City University of New York, United States;5. School of Criminal Justice at Michigan State University, East Lansing, United States;1. University of Illinois at Chicago, Loyola University Medical Center, Uptake Technologies, Inc., United States;2. School of Social Sciences, Singapore Management University, Singapore;1. Department of Methodology and Statistics, Tilburg University, Postbus 90153, 5000 LE Tilburg, The Netherlands;2. Department of Organization Studies, Tilburg University, The Netherlands;1. Defence Science and Technology Group, Department of Defence, Australia;2. School of Psychological Sciences, The University of Melbourne, Australia;3. School of Management, The University of Los Andes, Colombia |
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| Abstract: | Social networks are complex systems composed of interdependent organizations and people with diverse network structures. Understanding network dynamics, such as exchange commitment, requires a methodological toolkit that does not assume away complexity. In this study, we extend a technique for analyzing longitudinal, multilayer network data called network alignment. We introduce a novel metric – intersect proportions – for analyzing similarity between divergent graphs. We demonstrate the application of network alignment and intersect proportions to the context of investor commitment to startups and entrepreneurs. Using this technique, we are able to disentangle exchange commitment across complex networks. |
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| Keywords: | Multilayer network Network alignment Commitment Serial entrepreneur Startup investment |
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